Bridging the Semantic Gap in Image and Video Analysis
This book presents cutting-edge research on various ways to bridge the semantic gap in image and video analysis. The respective chapters address different stages of image processing, revealing that the first step is a future extraction, the second is a segmentation process, the third is object recog...
Other Authors: | , |
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Format: | eBook |
Language: | English |
Published: |
Cham
Springer International Publishing
2018, 2018
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Edition: | 1st ed. 2018 |
Series: | Intelligent Systems Reference Library
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Subjects: | |
Online Access: | |
Collection: | Springer eBooks 2005- - Collection details see MPG.ReNa |
Table of Contents:
- Semantic Gap in Image and Video Analysis: An Introduction
- Low-Level Feature Detectors and Descriptors for Smart Image and Video Analysis: A Comparative Study
- Scale-insensitive MSER Features: A Promising Tool for Meaningful Segmentation of Images
- Active Partitions in Localization of Semantically Important Image Structures
- Model-based 3D Object recognition in RGB-D Images
- Ontology-Based Structured Video Annotation for Content-Based Video Retrieval via Spatiotemporal Reasoning
- Deep Learning – a New Era in Bridging the Semantic Gap